Megazone Cloud
Technology
DataEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Engineer at Megazone Cloud. Skills: Data engineering, Python, SQL, AWS. Design data pipelines. Build data pipelines”
Industry & Context.
What They're Looking For.
Must Have
3-5+ years data engineering experience, 2-3+ years Python experience, 2-3+ years SQL experience, Databricks OR Snowflake experience, AWS data solutions experience, Data wrangling experience, Building data pipelines experience
Nice to Have
Databricks and Snowflake experience, GenAI experience, AI/ML frameworks experience, MLOps experience, Databricks certification, Snowflake certification, AWS certification
What You'll Do.
Design data pipelines
Maintain data pipelines
Prepare data for analysis
Prepare data for product use
Develop automated solutions
Solve data challenges
Collaborate with data science
Collaborate with development
Collaborate with infrastructure
How You'll Work.
Team & Collaboration
Cross-functional teams; Data science teams; Development teams; Infrastructure teams
Communication Scope
Communication skills
Full Job Description
WHO WE'RE LOOKING FOR Megazone Cloud is looking for a Data Engineer to be a backbone of our data-driven culture. You are a "builder" with a true thirst for knowledge and a startup mentality. You're not afraid to be a "jack of all trades" and you thrive in an environment where you can think fast and see your work directly impact customers. You have a strong background in data wrangling and are an expert in Databricks or Snowflake, with deep skills in Python, SQL, and AWS. WHAT YOU'LL DO - Design, build, and scale: Create and maintain resilient, high-performance data pipelines and infrastructure on AWS. - Own the data ecosystem: Master our data environment, leveraging Databricks and/or Snowflake to wrangle, transform, and prepare data for analysis and product use. - Write mission-critical code: Develop clean, optimized, and automated solutions using Python and SQL to solve complex data challenges. - Collaborate and multiply: Work as a "force multiplier" within our cross-functional teams, partnering with data science, development, and infrastructure to tackle big-picture projects. - Be a flexible builder: Embrace a "builder" mentality. In a startup, you'll have the flexibility to work on diverse challenges and your ideas will be heard, from intern to executive. WHAT YOU BRING (REQUIREMENTS) - 3-5+ years of professional data engineering experience. - 2-3+ years of hands-on experience with Python. - 2-3+ years of hands-on experience with SQL. - Proven, professional experience with Databricks OR Snowflake (certifications or experience with both is a huge plus). - Solid experience building and managing data solutions on AWS. - Proven experience in data wrangling and building robust data pipelines. - A "builder" mindset, a startup mentality, and a genuine thirst for knowledge. - Exceptional communication skills and the flexibility to think fast. - A strong team-player mentality, with experience navigating team dynamics and collaborating effectively to solve problems. BONUS
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